Run: 2026-04-24-01KQ0NB3QWA4Q2CTDR9ZCMCVQJ

Run Details

Model:
GPT-5.5
Duration:
27.5s
Cost:
$0.033900
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.01% Dialogue to Total Word Ratio (details)
0.0044% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly unfolded the crayon-smeared birthday invitation across the café table like it was a bank blueprint. A cartoon dinosaur in a party hat smiled up at them, unaware it had become evidence. “Target arrives at two,” Molly said. “Cake at two-thirty. Presents opened at three.” Bill leaned closer, squinting. “You got all that from glitter glue?” “I got that from being a professional.” “You got that from stealing mail.” “Borrowing mail.” “From a mailbox.” “Temporarily.” Bill stirred his tea with unnecessary suspicion. “Molly, this is a six-year-old’s birthday party.” “Exactly. Soft security. Distracted adults. High-value parcels.” “High-value? It says ‘bring a wrapped gift under fifteen pounds.’” “Do you know what toys cost now?” Bill looked toward the window, where a poodle in a sweater judged them both. “I don’t like it.” “You don’t like anything involving balloons.” “Balloons are unstable.” “So are you, but I still work with you.” He tapped the invitation. “What’s the venue?” “Community center. Jungle room.” “There’s a jungle room?” “There’s a mural and a suspicious amount of rubber flooring.” Bill groaned. “Rubber flooring means children bounce.” “That’s why we move fast.” “We are not stealing from children.” Molly paused, then lowered her voice. “We’re not stealing from children. We’re redistributing unappreciated plastic clutter before it becomes landfill.” “That is the worst moral disguise you’ve ever worn.” “It has pockets.” A waiter passed. Molly covered the invitation with a napkin. Bill tried to look innocent and accidentally saluted. “Stop saluting civilians,” she whispered. “I panicked.” “You always panic.” “I’m the cautious one.” “You once hid in a laundry basket for forty minutes because a cat made eye contact.” “It was a large cat.” Molly slid a second paper across the table: a hand-drawn floor plan with arrows, stick figures, and one alarming sketch labeled Cake Zone. “Entry through side door,” she said. “We pose as entertainers.” Bill stared. “Entertainers?” “You can juggle.” “I can drop three oranges in sequence.” “Children love slapstick.” “They love snacks and screaming.” “Then you’ll fit in.” He rubbed his forehead. “What are you going as?” “Magician.” “You know magic?” “I know misdirection.” “That’s just lying with jazz hands.” “Precisely.” Outside, rain began tapping the glass. Inside, the espresso machine hissed like it disapproved. Molly pointed to the plan. “Parents cluster here. Children swarm here. Presents sit here, near the dinosaur banner.” Bill studied the tiny rectangle labeled Loot Mountain. “And the exit?” “Same side door. We wheel out the presents in a prop trunk.” “Where do we get a prop trunk?” “You’re sitting on it.” Bill froze, then glanced under the table. The large floral suitcase between their feet looked less like luggage now and more like a criminal confession. “You brought equipment to brunch?” “This isn’t brunch. This is reconnaissance with muffins.” “You had two muffins.” “Research is hungry work.” Bill folded his arms. “I have objections.” “List them alphabetically.” “A: children. B: party games. C: possible clown.” “There is no clown.” “How do you know?” “Budget party.” “That doesn’t eliminate an uncle with face paint.” Molly considered this. “Acceptable risk.” “No uncle in face paint is acceptable.” She leaned in, eyes bright with the dangerous confidence that had once gotten them trapped inside a garden shed overnight. “Listen. We go in, perform ten minutes, create a distraction, load the presents, leave. Clean, quick, elegant.” “Nothing we do is elegant.” “Our intentions are elegant.” “Our intentions are felonies.” “Alleged felonies.” Bill sighed so deeply his teabag trembled. “What if the birthday child cries?” Molly’s expression softened for half a second. “We leave one present.” “One?” “The biggest-looking one.” “That’s probably socks from a grandparent.” “Then he learns resilience.” “Molly.” “What?” “This is low, even for us.” She sat back. The invitation glittered faintly beneath the napkin. Around them, respectable people ate toast without conspiring against kindergarteners. Finally, Molly said, “Fine. We don’t steal the presents.” Bill blinked. “Really?” “We steal the magician’s fee.” “There is no magician.” “There will be after we invoice them.” Bill stared, then slowly smiled. “So we perform badly and get paid?” “Professionally badly.” “And the children keep the presents?” “Every noisy, battery-hungry one.” He lifted his teacup. “To crime with boundaries.” Molly clinked her mug against it. “To boundaries with invoices.” At the next table, the poodle barked once through the window. Bill nodded solemnly. “Even the dog approves.” “The dog knows talent.” “The dog knows we’re banned from three malls.” “Temporary bans.” “From 2019.” Molly packed away the floor plan. “Come on. We need capes.” Bill stood, hauling the floral suitcase. “If there’s a clown, I’m resigning.” “If there’s a clown, we rob him first.”
created_at"2026-04-24T21:11:43.107Z" 4/24/2026, 9:11:43 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency756
moderation_latency(null)
generation_time27384
tokens_prompt77
tokens_completion1581
native_tokens_prompt66
native_tokens_completion1119
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0339
router(null)
provider_responses
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endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0c53c52625a186f30169ebdc8f346481938caa1a6eed99db4e"
is_byokfalse
latency293
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
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request_id"req-1777065103-5SujcojfnLw1iYVlMuiK"
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api_type"completions"
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upstream_id"resp_0c53c52625a186f30169ebdc8f346481938caa1a6eed99db4e"
total_cost0.0339
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words771
0.01% Dialogue to Total Word Ratio
Ratio: 63.67%, Deviation: 13.67%
neededCleanfalse
wordsTotal779
wordsDialogue496
0.0044%